# ffmpeg-mcp

> Use this tool when you need to automate video editing tasks, such as trimming, subtitling, and transcoding, using natural language inputs. It solves problems like efficient video processing and customization, allowing AI agents to drive the editing process. The tool takes natural language commands as input and outputs edited video files, making it ideal for applications where automated video editing is required.

Canonical page: https://skillsregistry.net/skills/none-stack-developer-ffmpeg-mcp  
JSON: https://api.skillsregistry.net/v1/skills/none-stack-developer-ffmpeg-mcp

## Description

An MCP server that exposes FFmpeg as structured tools for AI-agent-driven video editing, enabling operations like trimming, subtitling, and transcoding via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ce1s1h0zag)
- **Repository:** <https://github.com/none-stack-developer/ffmpeg-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "none-stack-developer-ffmpeg-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/none-stack-developer-ffmpeg-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/none-stack-developer-ffmpeg-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt